AI ENABLEMENT SPECIALIST

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AI ENABLEMENT SPECIALIST JOB SUMMARY

Designs, develops, and delivers AI literacy training programs tailored to non-technical audiences including clinical staff, care coordinators, and administrative teams. Partners with the development team to collaboratively build, test, and iterate on prompts for AI agents and automated workflows, facilitating technical learning of AI processes across the team. Validates AI output for accuracy, completeness, and expected behavior, documenting results against defined prompt and use case requirements to ensure consistent and reliable performance. Documents clear, reproducible steps for AI output failures or inconsistencies to support efficient troubleshooting and resolution by the engineering team. Assists in determining root cause of AI output issues and collaborates with the engineering team to identify, validate, and document resolutions. Works within project management and issue tracking tools (e.g., Jira, Azure DevOps) to log, categorize, prioritize, and escalate AI output issues and prompt enhancements. Creates engaging learning materials, including guides, tip sheets, short-form videos, and workshop curricula, covering AI fundamentals, responsible use, and tool-specific instruction. Continuously reviews and receives feedback on AI usage at the company to coordinate improvements on training criteria and development objectives. Leads live training sessions and facilitates ongoing learning communities to build and sustain AI fluency across the organization. Assesses training effectiveness and iterates on program design based on feedback, adoption metrics, and evolving AI capabilities. Develops, maintains, and distributes a library of organization-specific prompts and prompt engineering guidelines for approved AI tools and use cases. Partners with department leads to identify high-value AI use cases and prototype effective prompt strategies that can be standardized across teams. Stays current on AI tool capabilities, including generative AI, documentation automation, and clinical decision support, and proactively surfaces opportunities for practical application. Educates staff on the risks of improper AI use, including data privacy, PHI exposure, and HIPAA considerations specific to post-acute settings. Collaborates with IT Security and Compliance teams to ensure training content reflects current organizational policy, regulatory requirements, and vendor agreements. Acts as a first line of guidance for staff questions regarding appropriate versus inappropriate AI use, escalating policy concerns as needed. Functions as an internal AI ambassador, fostering a culture of curiosity, responsible experimentation, and continuous learning. Supports change management efforts related to new AI tool rollouts by preparing staff communications, FAQs, and adoption resources. Maintains an internal knowledge base or intranet hub for AI resources, updates, and best practices. Communicates effectively with colleagues of varying technical sophistication across a rapidly growing enterprise.

JOB REQUIREMENTS

Bachelor's Degree in Education, Communications, Information Technology, or a related field AND 3+ years of experience in training, instructional design, IT education, or a related enablement role. In the absence of formal education, an equivalent of 5+ years' relevant experience is acceptable. 2+ years of experience in instructional design, adult learning, or organizational development. 2+ years of hands-on experience with generative AI (LLM-based) tools and prompt engineering principles. 1+ years of experience with HIPAA, data privacy requirements, and AI governance frameworks or responsible AI use policies relevant to healthcare environments. 1+ years of experience working in post-acute care, healthcare operations, or a similarly regulated industry, with some familiarity with related business operations including accounting, payroll, and HR processes and tools, preferred. 1+ years of experience in software quality assurance, user acceptance testing, or technical output validation preferred. Strong presentation, facilitation, and written communication skills with the ability to make complex technical concepts accessible to non-technical audiences. Practical knowledge of generative AI platforms and prompt engineering techniques. Working knowledge of software testing methodologies and quality assurance principles as applied to AI output validation. Strong attention to detail for consistency and accuracy when evaluating AI-generated outputs against expected results and defined acceptance criteria. Familiarity with Agile/Scrum development methodologies and issue tracking tools such as Jira or Azure DevOps preferred. Familiarity with AI security considerations including PHI exposure, prompt injection risks, and vendor data handling policies. Understanding of HIPAA technical and administrative safeguard requirements as they apply to AI tool usage. Ability to design and deliver adult learning programs that drive measurable behavior change. Strong organizational skills with the ability to manage multiple training initiatives and stakeholder relationships simultaneously. Experience maintaining knowledge management resources such as Atlassian Confluence, or other wikis. Proficiency with Microsoft Office suite and collaboration platforms (e.g., Teams, SharePoint). Demonstrates composure and sound judgment when navigating ambiguity or evolving organizational priorities. Must have a valid Driver's License Visit www.libertycareers.com for more information. Background checks/drug-free workplace. EOE.